Construct · 1 fields · 1 citations
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In statistics, fused lasso refers to a penalized regression that penalizes both coefficient sizes and differences between neighboring coefficients, encouraging sparse and piecewise-constant solutions. This meaning comes from Tibshirani (2004) in Journal of the Royal Statistical Society Series B: Statistical Methodology.[1]
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